Top Data & Analytics Jobs in Pittsburgh, PA

Designs, builds, and supports scalable data warehouse solutions, including pipelines, transformations, data models, governance practices, metadata, and documentation. Develops source-to-target mappings, DDL documentation, and SCD models; troubleshoots data issues and performs root cause analysis. Collaborates with engineering, quality assurance, reporting, and business teams on data migrations, modernization, releases, and code reviews. Leads data requirements analysis and data solution development across multiple platforms.

Designs, builds, and maintains data warehouse solutions, pipelines, models, transformations, and data services across multiple platforms. Leads data requirements analysis, governance, metadata management, source-to-target mapping, migration, modernization, troubleshooting, and root-cause analysis. Collaborates with engineering, business, quality, and reporting teams to deliver scalable, accurate, secure, and maintainable data solutions supporting asset management operations.

Leads the design, development, and maintenance of scalable data warehouse solutions, including pipelines, data models, transformations, mappings, and documentation. Supports data governance, metadata management, migration, modernization, troubleshooting, and root cause analysis. Collaborates with engineering, quality, business analysis, and reporting teams to deliver reliable data solutions across multiple platforms and applications.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Leads development of tools, automations, and data workflows for engineering systems. Integrates and governs data across Zuken E3, product configurators, MES, PLM, and business platforms; improves component libraries, BOM accuracy, data quality, standardization, and engineering productivity. Partners with engineering, manufacturing, digital, IT, and software vendors to improve workflows, database architecture, process automation, and electrical design operations.

Maintains and validates packaging formulas, raw materials, intermediates, and finished-goods data across multiple business systems. Supports product setup, formula maintenance, pilot plant quality-control data entry, reporting, data governance, and change control. Partners with R&D, Manufacturing, Sales, Procurement, Marketing, Quality, and IT to resolve data and system issues, improve data quality, and support product development and manufacturing operations.

Quality Analyst role with Teleperformance, supporting the company’s commitment to service excellence, employee engagement, inclusion, and customer experience. The posting provides no specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Build and maintain Snowflake data pipelines, dimensional models, Power BI semantic models, advanced DAX calculations, dashboards, row-level security, and reporting automations. Partner with Finance, Pricing, Operations, Sales, customers, and carriers on financial, profitability, logistics, and performance analytics. Establish consistent KPI definitions, data quality checks, reconciliations, documentation, and secure internal and external reporting.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Develop and maintain research databases and tracking systems for tenant representation business development. Analyze commercial real estate market activity, companies, properties, pipelines, and opportunities to identify trends and support strategic decisions. Provide market intelligence, respond to information requests, improve data organization and presentation methods, and recommend process enhancements. Collaborate with senior advisors and team members while building expertise in Pittsburgh’s office market.

Develops and maintains Power BI reports, dashboards, semantic models, SQL datasets, and production reporting pipelines. Manages Azure Data Factory pipelines and Databricks notebooks, validates data accuracy, troubleshoots reporting issues, and supports scheduled client deliverables. Collaborates with software engineers, product owners, and account management in an Agile/Scrum environment. Documents BI practices, data definitions, and runbooks while applying dimensional modeling, DAX, Power Query, and AI-assisted development practices.

Performs exploratory data analysis, extracts and transforms data from BigQuery using complex SQL, builds production data models with dbt, investigates data quality issues, and supports data integrations. Uses Git and GitHub for version control and code review, Linux for scripting and file management, and Jira and Atlassian automation for workflow management.